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Found 14 papers, 3 papers with code
How Low is Too Low? A Computational Perspective on Extremely Low-Resource Languages
Despite the recent advancements of attention-based deep learning architectures across a majority of Natural Language Processing tasks, their application remains limited in a low-resource setting because of a lack of pre-trained models for such languages.
Towards the First Machine Translation System for Sumerian Transliterations
The Sumerian cuneiform script was invented more than 5, 000 years ago and represents one of the oldest in history.
Cultural Vocal Bursts Intensity Prediction
Machine Translation
+2
Translation Inference by Concept Propagation
We describe an approach on translation inference based on symbolic methods, the propagation of concepts over a graph of interconnected dictionaries: Given a mapping from source language words to lexical concepts (e. g., synsets) as a seed, we use bilingual dictionaries to extrapolate a mapping of pivot and target language words to these lexical concepts.
A Recurrent Neural Model with Attention for the Recognition of Chinese Implicit Discourse Relations
We introduce an attention-based Bi-LSTM for Chinese implicit discourse relations and demonstrate that modeling argument pairs as a joint sequence can outperform word order-agnostic approaches.
Resource-Lean Modeling of Coherence in Commonsense Stories
We present a resource-lean neural recognizer for modeling coherence in commonsense stories.
